ADLB

A dataset of laboratory measurements of kidney function over time for the 1500 patients in the <code>ADSL</code> dataset.

datasets

Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are also implemented, provided there is no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. <doi:10.1201/9781003288640-7>.

Samvel B. Gasparyan

Design and Analysis of Hierarchical Composite Endpoints

ADLB function

a data frame with 13980 rows and 8 variables:<dl>
<dt>ID</dt>
<dd>patient identifiers, numeric</dd><dt>TRTPN</dt>
<dd>treatment values, 1 Active or 2 Placebo, numeric</dd><dt>AVAL</dt>
<dd>measurement value, numeric</dd><dt>ADAY</dt>
<dd>measurement day in the study, numeric</dd><dt>AVISITN</dt>
<dd>hospital visit number, numeric</dd><dt>PARAM</dt>
<dd>name of the event, GFR measurements, character</dd><dt>PARAMCD</dt>
<dd>coded name of the event, GFR, character</dd><dt>PARAMN</dt>
<dd>type of the event is set to 7 for all measurements, numeric</dd>
</dl>

Format

Laboratory dataset for Glomerular Filtration Rate (GFR) measurements. — ADLB

a data frame with 13980 rows and 8 variables:<dl>
<dt>ID</dt>
<dd>patient identifiers, numeric</dd>

<dt>TRTPN</dt>
<dd>treatment values, 1 Active or 2 Placebo, numeric</dd>

<dt>AVAL</dt>
<dd>measurement value, numeric</dd>

<dt>ADAY</dt>
<dd>measurement day in the study, numeric</dd>

<dt>AVISITN</dt>
<dd>hospital visit number, numeric</dd>

<dt>PARAM</dt>
<dd>name of the event, GFR measurements, character</dd>

<dt>PARAMCD</dt>
<dd>coded name of the event, GFR, character</dd>

<dt>PARAMN</dt>
<dd>type of the event is set to 7 for all measurements, numeric</dd>


</dl>

ADLB: Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.

Description

Usage

Arguments

Format

Examples